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Washing hands is one of the easiest yet most effective ways to prevent spreading illnesses and diseases. However, not adhering to thorough handwashing routines is a substantial problem worldwide. For example, in hospital operations lack of hygiene leads to healthcare associated infections. We present WristWash, a wrist-worn sensing platform that integrates an inertial measurement unit and a Hidden Markov Model-based analysis method that enables automated assessments of handwashing routines according to recommendations provided by the World Health Organization (WHO).

The StudentLife project has been developing ways to combine multiple streams of data about student habits into meaningful holistic analyses of individual's well-being. Communicating those results to a student population poses a challenge to provide information in a legible form and provide meaningful and helpful, and importantly not harmful, feedback to enable students to improve their well-being.

This project aims to reduce the barriers present in grandchild-grandparent communication by developing a messaging tool which encourages users to exchange tidbits from each of their lives, cultures, and generations. Additionally, this tool can be used by users who are hard of hearing or who have a language barrier.